Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.. This item is unavailable.
Language: English
Published by Springer, 2021
Series: Book 479 of 538 - Studies in Computational Intelligence
- Hardcover
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Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) In deutscher Sprache. pages.
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- Title
- Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence, 983, Band 983) Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.
- Author
- Trung Nguyen, Duc, Nguyen Ngoc Thach Vladik Kreinovich a. o.
- Publisher
- Springer
- Publication year
- 2021
- Condition
- gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030770931
- ISBN 13
- 9783030770938
- Edition
- 2021.
- Item weight
- 2,000 grams
- Series
- Book 479 of 538: Studies in Computational Intelligence
This book provides the ultimate goal of economic studies to predict how the economy develops―and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques―including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy.
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book provides the ultimate goal of economic studies to predict how the economy develops―and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques―including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy.
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
"About the title" may belong to another edition of this title.
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